[1] S. Wang, J. Lin#, and F. Ye, "Imitation Learning for Adaptive Video Streaming with Future Adversarial Information Bottleneck Principle," accepted by IEEE Transactions on Mobile Computing. （CCF-A）
[2]S. Wang, J. Lin#, and Y. Dai#, "MMVS: Enabling Robust Adaptive Video Streaming for Wildly Fluctuating and Heterogeneous Networks," accepted by IEEE Transactions on Multimedia. （中科院1区）
[3]R. Zhao#, H. Yan#, and S. Wang, "Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels," European Conference on Computer Vision (ECCV), Milan, Italy, Sep. 2024. (计算机视觉三大顶会)
[4] H. Yan# and S. Wang, "DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration," International Joint Conference on Artificial Intelligence (IJCAI), Jeju, Aug. 2024.（CCF-A）
[5] J. Hou#, J. Lin#, and S. Wang, "A Scalable Re-Ranking Optimization Approach for Real-Time Network-Friendly Recommendations," accepted by IEEE Internet of Things Journal. （中科院1区）
[6] S. Wang, J. Yang#, and S. Bi, "Adaptive Video Streaming in Multi-Tier Computing Networks: Joint Edge Transcoding and Client Enhancement," in IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 2657-2670, April 2024.（CCF-A）
[7] S. Wang and S. Bi, "Improving Beam Alignment Accuracy in mmWave Communication Systems With Auxiliary Tasks," in IEEE Signal Processing Letters, vol. 30, pp. 992-996, 2023.（中科院2区）
[8] S. Wang, S. Bi, and Y. J. A. Zhang, "Edge Video Analytics with Adaptive Information Gathering: A Deep Reinforcement Learning Approach," in IEEE Transactions on Wireless Communications, vol. 22, no. 9, pp. 5800-5813, Sept. 2023. （中科院1区）
[9] P. Zhang#, H. Yan#, W. Wu, and S. Wang, “Improving Federated Person Re-Identification through Feature-Aware Proximity and Aggregation,” ACM International Conference on Multimedia (MM), Ottawa, CAnada, Oct. 2023 (Accpetance Rate 902/3669=24.6%).（CCF-A）
[10] J. Lin#, and S. Wang,"Improving robustness of learning-based adaptive video streaming in wildly fluctuating networks,” IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, July 2023 (Oral, Acceptance Rate 294/1415=20.7%).
[11] B.Zhou#, H.Yan#, and S. Wang, "Structure and Texture Preserving Network for Real-World Image Super-Resolution," in IEEE Signal Processing Letters, vol. 29, pp. 2173-2177, 2022.（中科院2区）
[12] S. Wang, S. Bi and Y. -J. A. Zhang, "Deep Reinforcement Learning With Communication Transformer for Adaptive Live Streaming in Wireless Edge Networks," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp. 308-322, Jan. 2022. (中科院1区，CCF-A)
[13] S. Wang, S. Bi, and Y. J. Zhang, “Adaptive Wireless Video Streaming: Joint Transcoding and Transmission Resource Allocation,” in IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3208-3221, May 2022. (中科院1区)
[14] S. Wang, S. Bi, and Y. J. Zhang, “Reinforcement learning for real-time pricing and scheduling control in EV charging stations,” IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 849-859, Feb. 2021. （中科院1区, ESI高被引论文）
[15]S. Wang and D. Zhu, “Interpretable multimodal learning for intelligent regulation in online payment systems,” International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, July 2020. (CCF-A)
[16] S. Wang, S. Bi, and Y. J. Zhang, “Locational Detection of the False Data Injection Attack in a Smart Grid: A Multi-label Classification Approach,” IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8218-8227, Sept. 2020. (中科院1区)
更新于2024.9.9
